feature selection
英 [ˈfiːtʃə(r) sɪˈlekʃn]
美 [ˈfiːtʃər sɪˈlekʃn]
特征选择；特铡择
双语例句
- It is also important to think about feature selection for training the model.
在训练模型时考虑使用特征选择也是很重要的。 - AVR and enhanced LBP feature selection method for facial expression recognition
面向表情识别的AVR和增强LBP特征选择方法 - Study and Analyze on Feature Selection in Text Categorization
文本分类中特征选择方法研究及分析 - The Research of Genetic Algorithm combination with the Text of Feature Selection
遗传算法与文本特征选择方法相结合的研究 - The object modeling is mainly summarized and analysized, then the feature selection, statistical model of feature and similarity measuring are described.
对目标建模技术进行了综述和分析，分别从特征选择、特征的统计建模和相似性度量三个方面进行了阐述。 - Feature reduction method involves feature selection and feature extraction.
降维的主要方法是特征选择和特征提取。 - Determine which normalization techniques or feature selection algorithm can enable increased reproducibility.
确定哪些标准化技术或者特征选择算法可以增加再现性。 - Research on the Algorithm of Feature Selection Based on Difference and Multiple Features
文本分类中基于差值思想的多特征选择算法研究 - In particular methods for confidence estimation and feature selection with Support Vector Machines will be described.
特别是支持向量机的特征选取和信赖度估计方法。 - Feature Selection Method Based on Optimal Document Frequency and Information Quantity
基于优化文档频和信息量的特征选择方法 - Feature Selection Methods Study Based on Gene Expression Data and Amino Acids Sequences
基于基因表达谱数据和氨基酸序列的特征提取方法研究 - Feature Selection Based on Adaptive Genetic Algorithm and SVM
基于自适应遗传算法和SVM的特征选择 - Research on combination feature selection method based on data fusion
基于数据融合的组合特征提取方法的研究 - Feature Selection Based on Mutual Information Maximization and Feature Clustering
基于互信息最大化和特征聚类的特征选择 - The complexity of feature selection for real-world data stream will increase because of high-dimensional data and concept drifting.
概念流动的出现及数据的高维性增加了数据流特征选择的复杂性。 - Feature selection based on hierarchical clustering and partial least squares
基于层次聚类算法和偏最小二乘的特征选择 - Image annotation based on genetic feature selection and support vector machines
基于遗传特征选择和支持向量机的图像标注 - To improve the classification performance, this article puts forward the multi level feature selection method and the kernel based distance weighted KNN algorithm.
为了提高分类性能，本文提出了中文文本多层次特征提取方法和基于核的距离加权KNN算法。 - After analyzing some normal evaluation functions for feature selection, a new evaluation function named the ratio of mutual information in feature selection was presented.
在分析了常用的一些特征选择的评价函数的基础上，提出了一个新的评价函数，即互信息比值。 - Feature Selection Method Study Based on Mts-pca and Its Application to Cancer Classification
基于mts-pca的特征选择方法研究及其在肿瘤分类中的应用 - Research on hierarchical text categorization using approach of multiple feature selection and multiple classifier fusion
基于多重特征选择和多分类器融合的文本层次分类研究 - This paper introduce the framework of Feature selection algorithm, gives the main algorithms, discuss the central research hotspots and potential directions.
为此，综述了特征选择算法的框架，给出了目前的主要算法，并探讨了目前的研究热点和将来可能的研究方向。 - The key operation of data preprocessing is feature selection and extraction.
数据预处理的关键是特征选择和提取。 - Research on Feature Selection and Classification for DNA Microarray
基因微阵列特征选择与分类方法研究 - Feature Selection Method Based on Fractal Dimension and Ant Colony Optimization Algorithm
基于分形维数和蚁群算法的属性选择方法 - A second-order feature selection method based on complete2DPCA is proposed for face recognition.
提出一种基于完全二维主元分析（2DPCA）的二次特征选择方法用于人脸识别。 - Study of attribute union theory in feature selection
关系积理论在特征选择中的应用研究 - Feature selection is the core research topic in text categorization.
特征选择是文本分类的一个核心研究课题。 - In this paper, the uncertainty coefficient of the feature subset is proposed to be a feature selection measure.
提出了运用特征子集的不确定性系数作为特征选择的度量。 - Firstly, the basic theory and famous algorithms of feature selection were roughly introduced.
首先对属性选择的基本思想和常用算法进行简要介绍；